Ayman Ouadoul
Final-year Business Intelligence student at Clermont School of Business, currently available for work.
Focused on data structuring, modeling, and analysis, with experience in interfaces and digital experiences.
I specialize in building data-driven digital products and high-converting web experiences for SaaS, Web3 & AI startups. My work combines Business Intelligence, data engineering, and frontend development to turn complex information into clear, useful experiences.
Beyond frontend development, my work sits at the intersection of Business Intelligence and data engineering — structuring data, modeling databases, building ETL/ELT pipelines, and transforming raw information into dashboards, visualizations, and decision-ready insights.
Away from coding, I keep a strong connection to creative work through my background in sound design and digital marketing. I enjoy creating visuals and shaping ideas into engaging experiences, bringing a creative perspective to the way I approach branding, communication, and detail.
I'm currently working on some exciting projects that I can't wait to share. I'm always open to ambitious collaborations, freelance work, and new opportunities where data, technology, and product thinking come together.
JavaScript (ES6+), TypeScript, React, Next.js, Vite, HTML5, CSS3, Git/GitHub, REST API Integration.
Python, FastAPI, PostgreSQL, Supabase, SQLite, REST APIs, OpenAPI, Webhooks, BigQuery, Databricks, Snowflake, dbt.
Tailwind CSS, Framer Motion, GSAP, Plotly, Matplotlib, Power BI, Tableau, Looker Studio.
A few tracks I keep in rotation while I work.
I build high-converting websites and AI-powered web apps — and the data engineering behind the insights that make them work.
Snap & Train is an AI-based fitness application designed to analyze users’ posture and body proportions from uploaded photos, then generate a personalized 7-day training plan they can follow and track step by step.
Vizatic is a Business Intelligence workspace designed to turn raw, disconnected datasets into clean, structured and analysis-ready data. Users can prepare their data, connect multiple tables, define business fields, and generate dashboards and AI-assisted insights from the final dataset.
One end-to-end case study — from 8 raw CSV files to a clean star schema and three live Tableau dashboards.
Olist Marketplace Intelligence
- 01
Bronze
Raw ingestion, landed as-is
8 source CSVs + lookup table
- 02
Silver
Cleaned staging layer
Encoding-normalised for MySQL
- 03
Gold
Kimball star schema, in SQL
2 fact tables · 4 dimensions
- 04
Tableau
Relationships, not joins
3 dashboards, published live
R$ 13.59M
Item sales analysed
23.43%
Estimated profit margin
112,650
Rows in the final model
Are sales translating into healthy performance over time?
Swipe to explore →
Which categories create or destroy margin?
Swipe to explore →
Which regions drive demand, and where does service reliability weaken?
Swipe to explore →
BUILT WITH
Start With A Call. Leave With A Plan.
I build websites, BI dashboards and AI-powered apps — from first sketch to production.
Book a free 30-minute call. We’ll scope your idea and you’ll leave with a concrete plan.
Got a question, proposal, project, or want to work together on something?